Ai Engineer Jobs

About The Position

Requirements

• Five or more years of professional full-stack software engineering experience across user interfaces, server-side logic, APIs, data stores, and background processing, including running software in production.
• Ability to learn new languages, frameworks, stacks, codebases, domains, and tools quickly and contribute meaningfully.
• Ability to understand how logic and data flow through a system and trace problems across its components.
• Experience owning a system area through production and beyond, with comfort taking on varied responsibilities and prioritizing effectively.
• Daily use of AI coding tools, including writing clear specifications and acceptance criteria, reviewing generated output, deciding when to code by hand, and building checks to validate AI-assisted changes.
• Clear written and spoken communication, including explaining technical trade-offs to consultants without jargon.
• Experience with LLM applications such as retrieval, structured output, orchestration, and context management.
• Ability to turn qualitative feedback about output quality into testable checks.
• Interest in how consultants and deal teams work.

Responsibilities

• Ship features from refined requirements to production across the frontend and backend.
• Own areas of the platform, such as a data pipeline, service, or part of the user interface.
• Work on the LLM-backed product core, including extraction, retrieval, chat, and content generation, and help measure and improve output quality.
• Use AI coding agents in the development workflow by breaking work into well-specified tasks, reviewing their output, and writing code by hand when faster or safer.
• Build tests, evaluations, and checks that make AI-assisted changes quick to verify and safe to ship.
• Take on changing team needs, including fixing bugs in unfamiliar code, building integrations, and creating tools for consultants.
• Partner with consultants, product, and design to clarify and improve requirements.
• Document design notes, decisions, and hand-offs so others can continue the work.

Benefits

• Competitive compensation
• Benefits and wellness options
• Ongoing training
• Mentorship
• Employee resource groups
• Clear performance feedback
• Flexible work schedules
• Discretionary time off policy
• Anticipated eligibility to participate in an annual bonus plan